Platform Engineer

Platform Engineer

As a Platform Engineer you will be responsible for designing building and maintaining secure scalable and resilient cloud platforms that enable the successful delivery of enterprise applications and digital services.

Key Responsibilities:

Platform Engineering & Infrastructure

• Design build and manage cloud infrastructure across Azure environments including networking compute storage identity and security services.
• Develop and maintain scalable reusable and production-ready infrastructure patterns.
• Implement Infrastructure-as-Code (IaC) solutions to automate platform provisioning and configuration management.
• Ensure platform components comply with enterprise architecture security and operational standards.
• Support engineering teams by providing reliable and scalable platform services for application delivery.

DevOps & Delivery

• Design implement and maintain CI/CD pipelines and automated deployment processes.
• Automate environment provisioning and infrastructure lifecycle management.
• Support Agile and sprint-based delivery models with a focus on quality speed and governance.
• Embed quality assurance and engineering best practices throughout the platform delivery lifecycle.
• Contribute to release management production readiness assessments and governance processes.
• Develop and maintain operational documentation and runbooks.

Platform Operations & Reliability

• Ensure platform readiness through monitoring alerting resilience and disaster recovery capabilities.
• Implement observability solutions including logging metrics and performance monitoring.
• Support incident management root cause analysis and continuous service improvement.
• Optimise platform performance availability and scalability to meet evolving business demands.
• Drive operational excellence through proactive maintenance and automation.

• Leverage AI-assisted engineering tools to accelerate infrastructure development scripting and automation.
• Apply AI-driven insights to improve platform monitoring performance optimisation and incident resolution.
• Support the adoption of AI-assisted engineering practices across Platform and DevOps teams.
• Validate AI-generated outputs to ensure they are secure accurate and aligned with enterprise standards.
• Continuously evaluate emerging AI technologies and automation capabilities to improve engineering productivity and delivery quality.

Required Skills & Experience:

• Proven experience designing implementing and managing cloud infrastructure within enterprise environments.
• Strong expertise in Microsoft Azure platform services including networking compute storage identity and security.
• Hands-on experience with Infrastructure-as-Code technologies such as Terraform Bicep or ARM templates.
• Strong background in DevOps practices CI/CD pipelines and deployment automation.
• Experience with Azure DevOps Git and modern source control workflows.
• Knowledge of containerisation and modern application hosting technologies including Docker.
• Experience implementing monitoring logging and observability solutions.
• Strong understanding of cloud security scalability resilience and performance optimisation.
• Experience supporting production environments and operational platform services.

Professional Skills:

• Strong analytical and problem-solving capabilities.
• Ability to collaborate effectively across engineering data AI and business teams.
• Experience working within Agile delivery frameworks and sprint-based environments.
• Excellent communication documentation and stakeholder engagement skills.
• Commitment to continuous learning and adoption of emerging cloud and platform technologies.